mechanistic model; stochastic model; integrated pest management
Résumé :
[en] The first step in the formulation of disease management strategy for any cropping system is
to identify the most important risk factors. This is facilitated by basic epidemiological studies
of pathogen life cycles, and an understanding of the way in which weather and cropping
factors affect the quantity of initial inoculum and the rate at which the epidemic develops.
Weather conditions are important factors in the development of fungal diseases in winter
wheat, and constitute the main inputs of the decision support systems used to forecast disease
and thus determine the timing for efficacious fungicide application. Crop protection
often relies on preventive fungicide applications. Considering the slim cost−revenue ratio
for winter wheat and the negative environmental impacts of fungicide overuse, necessity for
applying only sprays that are critical for disease control becomes paramount for a sustainable
and environmentally friendly crop production. Thus, fungicides should only be applied at
critical stages for disease development, and only after the pathogen has been correctly identified.
This chapter provides an overview of different weather-based disease models developed
for assessing the real-time risk of epidemic development of the major fungal diseases
(Septoria leaf blotch, leaf rusts and Fusarium head blight) of winter wheat in Luxembourg.
Disciplines :
Agriculture & agronomie
Auteur, co-auteur :
El Jarroudi, Moussa ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
